Every job search starts with a spreadsheet and ends with a spreadsheet nobody has updated in three weeks. ApplyTrac logs the application from the job page itself, keeps the stage current as you move, and tells you your real response rate.
Free forever for unlimited applications. No card required.
Tracking is not the goal. Knowing what to do next week is the goal. A tracker earns its place only if it survives the week you send fifteen applications and have no energy left for admin — which means the record has to be created by the act of applying, not by a separate act of remembering.
That is the whole design brief for ApplyTrac. Three things happen without you: the posting is captured when you save it, the application form is pre-filled from your profile, and the record is written the moment you submit. What is left for you is the part only you can do — moving a card when a recruiter replies.
One click on any job page — LinkedIn, Indeed, or a careers site — pulls in title, company, location and the full description.
Six stages that mirror how hiring actually runs. Drag a card and the status, ordering and KPIs update together.
The spreadsheet view you wanted, with colour-coded status, match score, deadline and next action — sortable and searchable.
Response rate, applications per day, apply streak, and where each role sits in the funnel.
Most trackers give you “applied” and “not applied”, which hides the only transition that matters: the one from applied to a human replying.
Roles you found but have not applied to yet.
Submitted, waiting. The stage most spreadsheets never move a row out of.
Recruiter call booked or a take-home in flight.
Onsite loop, panels, and every round after the screen.
Numbers on the table.
Closed — kept, because the pattern in your rejections is the data.
A spreadsheet is a fine place to start and a bad place to stay. Here is the same six jobs, done both ways.
| Task | Spreadsheet | ApplyTrac |
|---|---|---|
| Logging a new application | Copy-paste six fields by hand | One click from the job page |
| Keeping status current | You remember, or you do not | Drag a card; analytics follow |
| Which resume did I send? | A filename you no longer have | The exact file, on the record |
| Response rate | A formula you will not write | Computed from your own pipeline |
| Screening answers | Retyped every single time | Remembered per question |
| Follow-up timing | A mental note | Next-action date on the card |
A job application tracker is a system that records every role you apply to and what stage it has reached — applied, screening, interviewing, offer or rejected. It replaces the spreadsheet most job seekers start with, and unlike a spreadsheet it keeps itself current: ApplyTrac logs the application from the job page itself, so the record exists whether or not you remember to write it down.
Yes. Tracking unlimited job applications is free forever, including the pipeline board, the data grid, the resume vault and analytics. The free plan also includes 50 extension autofills and 50 AI drafts per calendar month. Pro at $19.99/month removes those two caps. No card is required to start.
A template gives you columns; you still do the data entry, and the tracking decays the week you get busy. ApplyTrac captures the posting, fills the application form, and files the resume version you actually submitted — so the record is a by-product of applying rather than a second job on top of it.
Enough to see a pattern. Response rates in a normal market sit in the single digits to low teens, so a handful of applications tells you nothing statistically. The point of tracking is that after thirty or forty you can see which sources, titles and resume versions actually convert, and stop spending weeks on the ones that do not.
Yes. The browser extension captures a posting from LinkedIn, Indeed, Glassdoor or any careers page, and the autofill is built around the Workday, Greenhouse, Lever, Ashby and iCIMS form patterns that most company sites run on.
Your profile stays in your browser, your data is never sold, and it is never used to train models. Helping improve field detection is opt-in. The full detail is in the privacy policy.
Install the extension, apply the way you already do, and let the board keep itself up to date.
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